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| Package |
Description |
Version |
|
ai-studio
☆
cask
|
Data science platform |
2026.1.1 |
|
anaconda
☆
cask
|
Distribution of the Python and R programming languages for scientific computing |
2026.07-1 |
|
datalad
☆
formula
|
Data distribution geared toward scientific datasets |
1.2.3 |
|
dataspell
☆
cask
|
IDE for Professional Data Scientists |
2026.1.3,261.26222.84 |
|
geoda
☆
cask
|
Spatial analysis, statistics, autocorrelation and regression |
1.22.1 |
|
gephi
☆
cask
|
Open-source platform for visualizing and manipulating large graphs |
0.11.3 |
|
graph-tool
☆
formula
|
Efficient network analysis for Python 3 |
14 |
|
igv
☆
formula
|
Interactive Genomics Viewer |
2.19.7 |
|
igv-desktop
☆
cask
|
Visual exploration of genomic data |
2.19.8 |
|
julia
☆
formula
|
Fast, Dynamic Programming Language |
1.12.2 |
|
julia-app
☆
cask
|
Programming language for technical computing |
1.13.1 |
|
julia-app@lts
☆
cask
|
Programming language for technical computing |
1.10.12 |
|
julia-app@nightly
☆
cask
|
Programming language for technical computing |
1.14.0 |
|
jupyter-r
☆
formula
|
R support for Jupyter |
|
|
jupyterlab
☆
formula
|
Interactive environments for writing and running code |
4.5.1 |
|
jupyterlab-app
☆
cask
|
Desktop application for JupyterLab |
4.6.3-1 |
|
jupytext
☆
formula
|
Jupyter notebooks as Markdown documents, Julia, Python or R scripts |
1.18.1 |
|
khiva
☆
formula
|
Algorithms to analyse time series |
|
|
knime
☆
cask
|
Software to create and productionise data science |
5.12.0 |
|
libnetworkit
☆
formula
|
NetworKit is an OS-toolkit for large-scale network analysis |
|
|
lightgbm
☆
formula
|
Fast, distributed, high performance gradient boosting framework |
|
|
logswan
☆
formula
|
Fast Web log analyzer using probabilistic data structures |
|
|
mahout
☆
formula
|
Library to help build scalable machine learning libraries |
0.13.0 |
|
mambaforge
☆
cask
|
Minimal installer for conda with preinstalled support for Mamba |
24.3.0-0 |
|
matplotplusplus
☆
formula
|
C++ Graphics Library for Data Visualization |
|
|
miniconda
☆
cask
|
Minimal installer for conda |
py314_26.7.1-1 |
|
miniforge
☆
cask
|
Minimal installer for conda specific to conda-forge |
26.7.2-0 |
|
mlpack
☆
formula
|
Scalable C++ machine learning library |
2.30 |
|
nao
☆
cask
|
AI code editor for data |
0.16.8 |
|
networkit
☆
formula
|
Performance toolkit for large-scale network analysis |
11.2 |
|
nteract
☆
cask
|
Interactive computing suite |
2.7.6,202608280705 |
|
numpy
☆
formula
|
Package for scientific computing with Python |
2.3.5 |
|
orange
☆
cask
|
Component-based data mining software |
3.40.0 |
|
orca
☆
cask
|
Generate images of interactive plotly charts |
1.3.1 |
|
oxen
☆
formula
|
Data VCS for structured and unstructured machine learning datasets |
0.42.0 |
|
polynote
☆
formula
|
Polyglot notebook with first-class Scala support |
0.7.1 |
|
positron
☆
cask
|
Data science IDE |
2026.09.1-2 |
|
pycharm-ce-with-anaconda-plugin
☆
cask
|
PyCharm IDE with Anaconda plugin |
2020.3.2,203.6682.179 |
|
pycharm-with-anaconda-plugin
☆
cask
|
PyCharm IDE with Anaconda plugin |
2020.3.2,203.6682.179 |
|
python-matplotlib
☆
formula
|
Python library for creating static, animated, and interactive visualizations |
3.10.8 |
|
pytorch
☆
formula
|
Tensors and dynamic neural networks |
2.9.1 |
|
quarto
☆
cask
|
Scientific and technical publishing system built on Pandoc |
1.10.18 |
|
r-app
☆
cask
|
Environment for statistical computing and graphics |
4.6.1,sonoma |
|
rapidminer-studio
☆
cask
|
Data science platform |
2026.0.1 |
|
rgf
☆
formula
|
Regularized Greedy Forest library |
|
|
rodeo
☆
cask
|
Data science IDE for Python |
2.5.2 |
|
rstudio
☆
cask
|
Data science software focusing on R and Python |
2026.09.0,174 |
|
rstudio@daily
☆
cask
|
Data science software focusing on R and Python |
2026.10.0-daily-210 |
|
rv-r
☆
formula
|
Declarative R package manager |
|
|
satyrn
☆
cask
|
Jupyter client |
0.0.118 |